Site Reliability Engineer 2

Requirements

  • BS or MS in Computer Science, Engineering, or equivalent practical experience.
  • Experience supporting cloud infrastructure, networking, applications, services, tools, and operational processes.
  • Strong understanding of networking and TCP/IP fundamentals, including DNS, HTTP/HTTPS, TLS, load balancing, and service connectivity.
  • Linux/Unix system-administration experience, including troubleshooting processes, memory, CPU, filesystem, and network issues.
  • Experience developing, operating, or supporting cloud services and large-scale distributed applications in production.
  • Demonstrated ability to troubleshoot complex technical issues methodically, including investigation of existing applications and code.
  • Experience creating and maintaining technical documentation, runbooks, knowledge articles, and operational guides.
  • Experience working in agile development and operational environments.
  • Strong written and verbal communication skills, including the ability to work effectively with remote global teams.
  • Ability to work independently, manage competing priorities, and participate in on-call, after-hours maintenance, and weekend support as needed.

Nice to Haves

  • Experience with Oracle Analytics Cloud, Oracle Analytics Server, OBIS, BI Publisher, Oracle Database, Autonomous Database, MySQL, SQL Server, or NoSQL technologies.
  • Two to four years of experience operating large-scale, customer-facing web applications or cloud services.
  • Experience with OCI, AWS, Azure, or GCP compute, storage, networking, monitoring, and operational tooling.
  • Programming and scripting experience with Python, Bash, JavaScript/Node.js, Ansible; Java experience is a plus.
  • Ability to read, understand, troubleshoot, and safely modify existing enterprise application code.
  • Familiarity with AI-assisted development tools, such as Codex and Claude Code, for software development, automation, investigation, and documentation.
  • Experience with CI/CD and infrastructure automation tools such as Ansible, Puppet, Chef, Git, and deployment pipelines.
  • Experience with cloud-native applications, containers, Kubernetes, microservices, and independently scalable services.
  • Experience with REST APIs, service integrations, and automation workflows.
  • Experience using Jira and Confluence for incident management, issue tracking, operational documentation, and collaboration.

What You'll Be Doing

  • Perform SRE activities supporting Oracle Analytics customers, engineering teams, and release cycles in both pre-production and production environments.
  • Participate in a follow-the-sun model providing 24x7 operational support for Oracle Analytics services.
  • Respond to incidents, troubleshoot complex service issues, drive mitigation to completion, and contribute to root-cause analysis and post-incident actions.
  • Read, understand, and troubleshoot existing application and service code to diagnose complex production issues, identify root causes, and support safe remediation.
  • Develop deep expertise in Oracle Analytics services to prevent regressions, resolve customer issues effectively, and reduce recurring incidents.
  • Build, maintain, and improve operational tooling, automation, dashboards, monitoring, run-books, and knowledge-base documentation.
  • Build and maintain AI-assisted and automation tools as needed to improve SRE workflows, including incident investigation, monitoring, remediation, operational reporting, and knowledge management.
  • Develop scripts and services for monitoring, telemetry collection, capacity analysis, patching, remediation, and operational reporting.
  • Analyze service health, workload patterns, CPU, memory, query activity, and capacity trends to identify reliability and scaling risks.
  • Execute interim patches, hot fixes, upgrades, and maintenance activities with operational excellence.
  • Partner with Development, Support, Product Management, and other engineering teams to investigate and resolve service failures and outages.
  • Improve CI/CD processes, deployment practices, operational readiness, and release support-ability.
  • Share operational knowledge, and continuously improve team processes.
  • Follow established security, compliance, change-management, and operational procedures.
AI Summary ✨

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